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- Tasks: Design and implement data pipelines for healthcare, integrating diverse datasets and developing AI solutions.
- Company: Join a forward-thinking company at the forefront of AI in healthcare.
- Benefits: Enjoy fully remote work, flexible hours, and opportunities for professional growth.
- Why this job: Be part of an innovative team making a real impact in healthcare through AI technology.
- Qualifications: Bachelor's degree in a relevant field and experience in data engineering and Gen AI required.
- Other info: Contract-to-hire position with potential for long-term career development.
The predicted salary is between 36000 - 60000 £ per year.
Location: Fully Remote
Job Type: Contract/Contract-to-hire
Responsibilities:
- Data Engineering: Collaborate with cross-functional teams to design and implement data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes. Work with diverse healthcare datasets, integrating and cleaning data from various sources to create a unified and reliable data infrastructure. Develop and maintain databases, ensuring data quality, integrity, and security.
- AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations.
- Research and Innovation: Stay abreast of the latest advancements in genomics, healthcare, and AI technologies. Contribute to the development of new methodologies and tools to enhance our service offerings.
Qualifications:
- Bachelor's degree in Computer Science, Data Science, or a related field.
- Strong foundation in data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL.
- Knowledge of healthcare industry standards, regulations, and data interoperability.
- Familiarity with AI and machine learning concepts, and a willingness to learn and apply them in a healthcare context.
- At least 6 months experience working with Gen AI.
- Excellent communication and interpersonal skills.
- Proven ability to work in a collaborative team environment.
- Prior experience in healthcare or insurance field.
Gen AI Consultant employer: InterEx Group
Contact Detail:
InterEx Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Consultant
✨Tip Number 1
Network with professionals in the healthcare and AI sectors. Attend relevant webinars, conferences, or local meetups to connect with people who are already working in roles similar to the Gen AI Consultant position. This can help you gain insights into the industry and potentially lead to referrals.
✨Tip Number 2
Showcase your understanding of data engineering and AI integration by engaging in relevant projects or contributing to open-source initiatives. This hands-on experience will not only enhance your skills but also demonstrate your commitment to the field when discussing your background during interviews.
✨Tip Number 3
Stay updated on the latest trends in genomics and AI technologies. Follow industry leaders on social media, subscribe to relevant newsletters, and read research papers. Being knowledgeable about current advancements will allow you to speak confidently about how they can be applied in healthcare during interviews.
✨Tip Number 4
Prepare for potential technical interviews by brushing up on your SQL skills and understanding ETL processes. Practice common data engineering problems and scenarios that may arise in a healthcare context. This preparation will help you feel more confident and capable during the interview process.
We think you need these skills to ace Gen AI Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and AI integration, especially any work related to healthcare. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about using AI in healthcare. Mention specific projects or experiences that showcase your skills in data pipelines, ETL processes, and collaboration with cross-functional teams.
Showcase Relevant Skills: Clearly outline your technical skills, particularly in SQL, data modeling, and any experience with genomics or machine learning. Provide examples of how you've applied these skills in previous roles.
Highlight Continuous Learning: Mention any recent courses, certifications, or self-study related to AI, data science, or healthcare. This shows your commitment to staying updated with industry advancements and your willingness to learn.
How to prepare for a job interview at InterEx Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data engineering, particularly ETL processes and database management. Highlight specific projects where you've successfully implemented these skills, especially in a healthcare context.
✨Demonstrate Your Knowledge of AI in Healthcare
Familiarise yourself with current trends and advancements in AI as they relate to healthcare. Be ready to discuss how you can apply AI solutions to real-world healthcare challenges, showcasing your understanding of genomics and clinical data.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, share examples of how you've effectively collaborated with others in previous roles. Highlight your communication skills and ability to work in a team environment.
✨Stay Updated on Industry Standards
Research the latest regulations and standards in the healthcare industry. Being knowledgeable about data interoperability and compliance will demonstrate your commitment to maintaining high-quality data practices.
